Course Objectives

  • Understand concepts required for visualization
  • Integrating complex data analytics with decision making
  • Use Design principles to Visualize complex data types
  • Carry out Real time data visualization
  • Appraise the Challenges in Visualization and manage them

UNIT I Introduction

The Visualization scope – Definitions – Grammar of Graphics – Golden rule of information design.

UNIT II Process

Visualizing Process– Colors – General Principles of Design of Visualization- Visualizing multi-variant data

UNIT III Designing

Information Design Genres – Illustration – maps- Statistical-concept-network- Scientific visualizations

UNIT IV Workflow

Text and type- Design Workflow- Project Phases- Ethics of Information Design-Visualization Literacy

UNIT V Designing Solution

Hidden thinking – Developing Design Solution- interactivity- Annotation.

Learning Resources

  • J. Hilden J. Koponen, Data Visualization Handbook, 1st Edition, 2019, Aalto University
  • Andy Kirk, Data Visualisation: A Handbook for Data Driven Design, , 1st Edition, 2019, Sage Publication
  • Kieran Healy, Data Visualization – A Practical Introduction, Ed.1, 2019, Princeton University Press.
  • Claus O. Wilke, Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures, First edition, 2019, O'Reilly
  • Brett Powell, Microsoft Power BI Cookbook: Creating Business Intelligence Solutions, 1st Edition,2017, Packt Publishing
  • Abdulkader Aljandali, Multivariate Methods and Forecasting with IBM SPSS Statistics, 1st ed. 2017 Springer;

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